This dataset consists of approximately 2.2 M \((Q, \mathcal {D}, Y)\)  triples [1]}, and is developed based on a subset of English Wikipedia articles.
The authors view Wikipedia as a collection of summaries on various topics or queries given by their title, e.g., “Canada” or “Artificial Intelligence”, and the source documents to be summarized can be viewed as all reputable documents on the Web or books.
Thus, each \((Q, \mathcal {D}, Y)\)  in WikiSum is constructed using a Wikipedia article as follows. \(Q\)  is the title of the article, \(\mathcal {D}\)  is a collection of non-Wikipedia reference documents, and \(Y\)  is the first section, or lead, of the Wikipedia article, conditioned on reference text.
WikiSum has been used in several QMAD studies.
Although WikiSum is a simulated QMAS dataset and the results on WikiSum have to be taken with a grain of salt since neither the queries nor the summaries are natural [2]}, the dataset is among the most widely used ones for QMAS research.
